The current aiClient.ts and systemPrompt.ts files provide a foundational abstraction for AI interactions. To enhance CorePat's flexibility and ease of integration with diverse AI models, further refinement and expansion are needed.
This issue proposes:
- Standardize AI Client Interface: Define a clear, extensible interface for
aiClient.ts that can easily accommodate different AI providers (e.g., OpenAI, Anthropic, Google Gemini) without significant code changes to the core chat route.
- Parameterize AI Model Selection: Allow for dynamic selection of AI models (e.g.,
gpt-3.5-turbo, claude-3-opus-20240229) via environment variables or API request parameters.
- Advanced System Prompt Management: Implement a more robust system for managing and injecting system prompts, potentially supporting multiple personas or context-specific prompts based on chat session state or user input.
- Error Handling and Rate Limiting: Enhance error handling for AI API calls and consider basic rate limiting or retry mechanisms.
These improvements will make CorePat's AI integration more robust, adaptable, and developer-friendly.
The current
aiClient.tsandsystemPrompt.tsfiles provide a foundational abstraction for AI interactions. To enhance CorePat's flexibility and ease of integration with diverse AI models, further refinement and expansion are needed.This issue proposes:
aiClient.tsthat can easily accommodate different AI providers (e.g., OpenAI, Anthropic, Google Gemini) without significant code changes to the corechatroute.gpt-3.5-turbo,claude-3-opus-20240229) via environment variables or API request parameters.These improvements will make CorePat's AI integration more robust, adaptable, and developer-friendly.